acf.plot: Autocorrelation function plot

In giabaio/bmeta: Bayesian Meta-Analysis and Meta-Regression

Autocorrelation function plot

Description

Function to create autocorrelation function plot to assess convergence

Usage

acf.plot(x, node, title = "Autocorrelation function")

Arguments

x	a bmeta object with results of the model
node	variable to be displayed on the plot
title	title of the plot, if specified

Value

A plot showing the autocorrelation for the selected node

Author(s)

Tao Ding Gianluca Baio

Examples

### Read and format the data (binary)
data = read.csv(url("https://gianluca.statistica.it/software/bmeta/Data-bin.csv"))

### List data for binary outcome 
data.list <- list(y0=data$y0,y1=data$y1,n0=data$n0,n1=data$n1) 

### generate output from bmeta 
x <- bmeta(data=data.list,outcome="bin",model="std.dt",type="ran")

### generate autocorrelation function plot 
acf.plot(x,"alpha[1]")

### generate autocorrelation function plot and specify the title 
acf.plot(x,"alpha[1]",title="Autocorrelation plot")

giabaio/bmeta documentation built on May 4, 2023, 3:31 p.m.